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SRP167434
Homo sapiens
71 Downloadable Samples
NextSeq 500
Description
During host-pathogen encounters, the complex interactions between different immune cell-types can determine the outcome of infection. Advances in single cell RNA-seq (scRNA-seq) allow to probe this complexity of immunity, and afforded the basis for deconvolution algorithms that infer cell-type compositions from bulk RNA-seq measurements. However, immune activation, an important aspect of immune surveillance, is not represented in current algorithms. Here, using scRNA-seq of human peripheral blood cells infected with Salmonella, we developed a novel deconvolution algorithm to infer dynamic immune states from bulk measurements. We applied our dynamic deconvolution algorithm both to cohorts of healthy individuals challenged ex vivo with Salmonella and to cohorts of tuberculosis patients during different stages of disease. We revealed cell-type specific immune responses associated not only with ex vivo infection phenotype but also with clinical disease stage. We propose that our approach provides a predictive power to identify risk for disease, and can be applied to comprehensively study human infection outcome. Overall design: PBMCs were isolated from 8 individuals bearing or not TLR10 polymorphism and were infected ex vivo with Salmonella enterica serovar Typhimurium. RNA was extracted before infection, 4 hours post infection and 8 hours post infection.
Publication Title
Predicting bacterial infection outcomes using single cell RNA-sequencing analysis of human immune cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 62 Downloadable Samples
- NextSeq 500
Description
During host-pathogen encounters, the complex interactions between different immune cell-types can determine the outcome of infection. Advances in single cell RNA-seq (scRNA-seq) allow to probe this complexity of immunity, and afforded the basis for deconvolution algorithms that infer cell-type compositions from bulk RNA-seq measurements. However, immune activation, an important aspect of immune surveillance, is not represented in current algorithms. Here, using scRNA-seq of human peripheral blood cells infected with Salmonella, we developed a novel deconvolution algorithm to infer dynamic immune states from bulk measurements. We applied our dynamic deconvolution algorithm both to cohorts of healthy individuals challenged ex vivo with Salmonella and to cohorts of tuberculosis patients during different stages of disease. We revealed cell-type specific immune responses associated not only with ex vivo infection phenotype but also with clinical disease stage. We propose that our approach provides a predictive power to identify risk for disease, and can be applied to comprehensively study human infection outcome. Overall design: Whole-blood (WB) cells and PBMCs were isolated from 4 healthy individuals and were infected ex vivo with Salmonella enterica serovar Typhimurium or with PBS as control. RNA was extracted 4 hours later.
Publication Title
Predicting bacterial infection outcomes using single cell RNA-sequencing analysis of human immune cells.
Sample Metadata Fields
Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 13 Downloadable Samples
- NextSeq 500
Description
During host-pathogen encounters, the complex interactions between different immune cell-types can determine the outcome of infection. Advances in single cell RNA-seq (scRNA-seq) allow to probe this complexity of immunity, and afforded the basis for deconvolution algorithms that infer cell-type compositions from bulk RNA-seq measurements. However, immune activation, an important aspect of immune surveillance, is not represented in current algorithms. Here, using scRNA-seq of human peripheral blood cells infected with Salmonella, we developed a novel deconvolution algorithm to infer dynamic immune states from bulk measurements. We applied our dynamic deconvolution algorithm both to cohorts of healthy individuals challenged ex vivo with Salmonella and to cohorts of tuberculosis patients during different stages of disease. We revealed cell-type specific immune responses associated not only with ex vivo infection phenotype but also with clinical disease stage. We propose that our approach provides a predictive power to identify risk for disease, and can be applied to comprehensively study human infection outcome. Overall design: PBMCs were isolated from a healthy individual and were infected ex vivo with Salmonella enterica serovar Typhimurium or with PBS as control. Monocytes and NKT cells were sorted from naïve and infected PBMCs. RNA was extracted 4 hours post infection.
Publication Title
Predicting bacterial infection outcomes using single cell RNA-sequencing analysis of human immune cells.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 12 Downloadable Samples
- NextSeq 500
Description
During host-pathogen encounters, the complex interactions between different immune cell-types can determine the outcome of infection. Advances in single cell RNA-seq (scRNA-seq) allow to probe this complexity of immunity, and afforded the basis for deconvolution algorithms that infer cell-type compositions from bulk RNA-seq measurements. However, immune activation, an important aspect of immune surveillance, is not represented in current algorithms. Here, using scRNA-seq of human peripheral blood cells infected with Salmonella, we developed a novel deconvolution algorithm to infer dynamic immune states from bulk measurements. We applied our dynamic deconvolution algorithm both to cohorts of healthy individuals challenged ex vivo with Salmonella and to cohorts of tuberculosis patients during different stages of disease. We revealed cell-type specific immune responses associated not only with ex vivo infection phenotype but also with clinical disease stage. We propose that our approach provides a predictive power to identify risk for disease, and can be applied to comprehensively study human infection outcome. Overall design: Frozen PBMCs from healthy individual were defrosted and infectd ex vivo with Salmonella enterica serovar Typhimurium.
Publication Title
Predicting bacterial infection outcomes using single cell RNA-sequencing analysis of human immune cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 40 Downloadable Samples
- NextSeq 500
Description
Transcriptomes of circulating monocytes in Q fever fatigue syndrome (QFS) patients, chronic fatigue syndrome (CFS) patients, asymptomatic Q fever seropositive controls and healthy controls Overall design: Circulating monocytes from QFS patinets, CFS patients, asymptomatic Q fever seropositive controls and healthy controls were isolated from PBMCs by menas of Percoll
Publication Title
A possible role for mitochondrial-derived peptides humanin and MOTS-c in patients with Q fever fatigue syndrome and chronic fatigue syndrome.
Sample Metadata Fields
Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 12 Downloadable Samples
Description
Innate immune memory is the phenomenon whereby innate immune cells such as monocytes or macrophages undergo functional reprogramming after exposure to microbial components. In this study, we apply epigenomic and transcriptomic analysis to a clinical trial of BCG vaccination in healthy adults. Overall design: Healthy volunteers were injected with the BCG vaccine, and monocytes were collected before vaccination, and 1 month after vaccination.
Publication Title
The role of Toll-like receptor 10 in modulation of trained immunity.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 24 Downloadable Samples
- Illumina HiSeq 1500
Description
Here we investigated whether sterile triggers of inflammation induce trained immunity and thereby influence innate immune responses. Western diet (WD) feeding of Ldlr-/- mice induced systemic inflammation, which was undectable in serum soon after mice were shifted back to chow diet (CD). In contrast, myeloid cell responses towards innate stimuli remained broadly augmented. WD induced transcriptomic and epigenomic reprogramming of myeloid progenitor cells, leading to increased proliferation as well as enhanced innate immune and interferon responses towards in vivo LPS challenge. QTL analysis in human monocytes trained with oxidized low-density lipoprotein (oxLDL) and stimulated with LPS suggested inflammasome-mediated trained immunity. Consistently, Nlrp3-/-/Ldlr-/--deficient mice lacked WD-induced systemic inflammation or myeloid progenitor proliferation and reprogramming. Hence, NLRP3 mediates trained immunity following WD and could thereby arbitrate the potentially deleterious effects of trained immunity in inflammatory diseases. Overall design: Examination of GMPs in six different conditions by RNA-seq
Publication Title
Western Diet Triggers NLRP3-Dependent Innate Immune Reprogramming.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 19 Downloadable Samples
- Illumina HiSeq 1500
Description
Here we investigated whether sterile triggers of inflammation induce trained immunity and thereby influence innate immune responses. Western diet (WD) feeding of Ldlr-/- mice induced systemic inflammation, which was undectable in serum soon after mice were shifted back to chow diet (CD). In contrast, myeloid cell responses towards innate stimuli remained broadly augmented. WD induced transcriptomic and epigenomic reprogramming of myeloid progenitor cells, leading to increased proliferation as well as enhanced innate immune and interferon responses towards in vivo LPS challenge. QTL analysis in human monocytes trained with oxidized low-density lipoprotein (oxLDL) and stimulated with LPS suggested inflammasome-mediated trained immunity. Consistently, Nlrp3-/-/Ldlr-/--deficient mice lacked WD-induced systemic inflammation or myeloid progenitor proliferation and reprogramming. Hence, NLRP3 mediates trained immunity following WD and could thereby arbitrate the potentially deleterious effects of trained immunity in inflammatory diseases. Overall design: Examination of GMPs in six different conditions by RNA-seq
Publication Title
Western Diet Triggers NLRP3-Dependent Innate Immune Reprogramming.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 100 Downloadable Samples
- Illumina HiSeq 2500
Description
Objective: Transcriptional profiling of murine HSPC in response to ß-glucan-induced innate immune training Overall design: HSPC mRNA profiles of wild type (WT) mice injected with PBS or ß-glucan. Wild type (WT) C57BL/6 mice were intraperitoneally injected with PBS or 1 mg ß-glucan in PBS. Mice were sacrificed on day 7 or day 28 and long-term heematopoietic stem cells (LT-HSC) and/or multipotent progenitors (MPP) were sorted. In another group, mice were injected with PBS or 1 mg ß-glucan in PBS and on day 7 they were additionally injected with 150 mg/kg 5-fluouracil. Mice were sacrificed on day 14 after 5-FU administration and LT-HSC were sorted.
Publication Title
Modulation of Myelopoiesis Progenitors Is an Integral Component of Trained Immunity.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 16 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
A characteristic feature of anaplastic large cell lymphoma (ALCL) is the significant reduction of the T-cell expression program despite its T-cell origin, a finding very similar to the loss of B-cell identity of classical Hodgkin lymphoma (cHL). Previously we demonstrated that epigenetic mechanisms are active in cHL to induce this peculiar phenotype. The results show that combined DNA demethylation and histone acetylation of T-cell lines induce an almost complete extinction of the T-cell phenotype, including the down-regulation of essential T-cell receptor signalling pathway genes such as CD3, LCK and ZAP70, as well as an up-regulation of ALCL-characteristic genes. In contrast, combined DNA demethylation and histone acetylation of ALCL cells is not able to reconstitute their T-cell phenotype. This clearly demonstrates that similar epigenetic mechanisms are active in ALCL and cHL which are responsible for the extinction of their cell type characteristic phenotype.
Publication Title
Histone acetylation and DNA demethylation of T cells result in an anaplastic large cell lymphoma-like phenotype.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples